S. Mark Tompkins

5.7k total citations · 1 hit paper
117 papers, 3.9k citations indexed

About

S. Mark Tompkins is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, S. Mark Tompkins has authored 117 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Epidemiology, 35 papers in Infectious Diseases and 30 papers in Immunology. Recurrent topics in S. Mark Tompkins's work include Influenza Virus Research Studies (84 papers), Respiratory viral infections research (48 papers) and Animal Disease Management and Epidemiology (22 papers). S. Mark Tompkins is often cited by papers focused on Influenza Virus Research Studies (84 papers), Respiratory viral infections research (48 papers) and Animal Disease Management and Epidemiology (22 papers). S. Mark Tompkins collaborates with scholars based in United States, Australia and Netherlands. S. Mark Tompkins's co-authors include Ralph A. Tripp, Chia-Yun Lo, Suzanne L. Epstein, Terrence M. Tumpey, Andrew D. Yurochko, Krishna Mondal, John S Morris, Amer A. Beg, Albert S. Baldwin and Stephen Haskill and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

S. Mark Tompkins

114 papers receiving 3.9k citations

Hit Papers

Characterization of an immediate-early gene induced in ad... 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Mark Tompkins United States 34 1.7k 1.4k 1.3k 935 634 117 3.9k
Hangping Yao China 30 1.0k 0.6× 1.2k 0.8× 1.6k 1.2× 1.3k 1.4× 621 1.0× 184 4.7k
Nicholas S. Heaton United States 29 1.8k 1.1× 949 0.7× 1.7k 1.3× 1.2k 1.3× 168 0.3× 67 4.7k
Pierre‐Olivier Vidalain France 38 1.4k 0.8× 1.4k 1.0× 1.5k 1.1× 1.2k 1.2× 182 0.3× 102 4.1k
Toru Okamoto Japan 37 1.0k 0.6× 860 0.6× 1.8k 1.4× 706 0.8× 324 0.5× 123 4.0k
William M. Schneider United States 20 943 0.5× 2.2k 1.5× 1.6k 1.2× 1.4k 1.5× 237 0.4× 33 4.4k
Kohji Moriishi Japan 41 1.8k 1.0× 949 0.7× 2.4k 1.8× 968 1.0× 176 0.3× 145 5.8k
I‐Chueh Huang United States 23 1.6k 0.9× 2.4k 1.7× 1.2k 0.9× 2.3k 2.5× 174 0.3× 26 5.1k
Dirk Lindemann Germany 44 1.7k 1.0× 1.2k 0.8× 2.2k 1.7× 667 0.7× 213 0.3× 131 5.4k
Bryan R.G. Williams Australia 32 841 0.5× 2.4k 1.7× 2.6k 2.0× 725 0.8× 843 1.3× 66 5.2k
Katsumi Maenaka Japan 44 1.2k 0.7× 3.1k 2.2× 3.1k 2.3× 664 0.7× 176 0.3× 191 7.2k

Countries citing papers authored by S. Mark Tompkins

Since Specialization
Citations

This map shows the geographic impact of S. Mark Tompkins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Mark Tompkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mark Tompkins more than expected).

Fields of papers citing papers by S. Mark Tompkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mark Tompkins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Mark Tompkins. The network helps show where S. Mark Tompkins may publish in the future.

Co-authorship network of co-authors of S. Mark Tompkins

This figure shows the co-authorship network connecting the top 25 collaborators of S. Mark Tompkins. A scholar is included among the top collaborators of S. Mark Tompkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Mark Tompkins. S. Mark Tompkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bimler, Lynn, et al.. (2025). Non-neutralizing antibodies to influenza A matrix-protein-2-ectodomain are broadly effective therapeutics and resistant to viral escape mutations. Science Advances. 11(37). eadx3505–eadx3505. 1 indexed citations
2.
Lowen, Anice C., Amy L. Vincent Baker, Andrew S. Bowman, et al.. (2025). Pandemic risk stemming from the bovine H5N1 outbreak: an account of the knowns and unknowns. Journal of Virology. 99(4). e0005225–e0005225. 10 indexed citations
3.
Ferguson, James A., Julianna Han, Dawne K. Rowe, et al.. (2025). Neuraminidase-specific antibodies drive differential cross-protection between contemporary FLUBV lineages. Science Advances. 11(13). eadu3344–eadu3344.
4.
Krunkosky, Thomas M., et al.. (2024). Establishment of Swine Primary Nasal, Tracheal, and Bronchial Epithelial Cell Culture Models for the Study of Influenza Virus Infection. Journal of Virological Methods. 327. 114943–114943. 5 indexed citations
5.
Ferreri, Lucas M., et al.. (2024). Swine influenza A virus isolates containing the pandemic H1N1 origin matrix gene elicit greater disease in the murine model. Microbiology Spectrum. 12(3). e0338623–e0338623. 2 indexed citations
6.
Hoxie, Irene, Jordan J. Clark, Ben Francis, et al.. (2024). A recombinant N2 neuraminidase-based CpG 1018® adjuvanted vaccine provides protection against challenge with heterologous influenza viruses in mice and hamsters. Vaccine. 42(24). 126269–126269. 8 indexed citations
7.
Huang, Jiachen, Miriã F. Criado, Avik Banerjee, et al.. (2024). A general computational design strategy for stabilizing viral class I fusion proteins. Nature Communications. 15(1). 1335–1335. 5 indexed citations
8.
Moreno, Silvia N.J., et al.. (2024). CageDot: Contactless Animal Activity Monitoring System to Follow Infectious Disease Progress. 812–817. 2 indexed citations
9.
North, Julie, et al.. (2023). Development and characterization of an immortalized swine respiratory cell line for influenza A virus research. Frontiers in Veterinary Science. 10. 1258269–1258269. 1 indexed citations
10.
Luczo, Jasmina M., Illiassou Hamidou Soumana, Elodie Ghedin, et al.. (2023). Bordetella bronchiseptica-Mediated Interference Prevents Influenza A Virus Replication in the Murine Nasal Cavity. Microbiology Spectrum. 11(2). e0473522–e0473522. 2 indexed citations
12.
Runstadler, Jonathan A., Anice C. Lowen, Ghazi Kayali, et al.. (2023). Field Research Is Essential to Counter Virological Threats. Journal of Virology. 97(5). e0054423–e0054423. 5 indexed citations
13.
Sarma, Jayasri Das, Ashish J. Mehta, Bashar S. Staitieh, et al.. (2023). Chronic alcohol use primes bronchial cells for altered inflammatory response and barrier dysfunction during SARS-CoV-2 infection. American Journal of Physiology-Lung Cellular and Molecular Physiology. 325(5). L647–L661. 1 indexed citations
14.
Luczo, Jasmina M., Tatiana Bousse, Scott K. Johnson, et al.. (2021). Intranasal powder live attenuated influenza vaccine is thermostable, immunogenic, and protective against homologous challenge in ferrets. npj Vaccines. 6(1). 59–59. 12 indexed citations
17.
Lahmers, Kevin K., Holly S. Sellers, David E. Stallknecht, et al.. (2020). Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses. Journal of Veterinary Diagnostic Investigation. 33(2). 202–215. 15 indexed citations
18.
Nachbagauer, Raffael, D.A. Shore, Hua Yang, et al.. (2018). Broadly Reactive Human Monoclonal Antibodies Elicited following Pandemic H1N1 Influenza Virus Exposure Protect Mice against Highly Pathogenic H5N1 Challenge. Journal of Virology. 92(16). 24 indexed citations
19.
Deffrasnes, Céline, Glenn A. Marsh, Chwan Hong Foo, et al.. (2016). Genome-wide siRNA Screening at Biosafety Level 4 Reveals a Crucial Role for Fibrillarin in Henipavirus Infection. PLoS Pathogens. 12(3). e1005478–e1005478. 38 indexed citations
20.
Tompkins, S. Mark, Josette Padilla, Mauro C. Dal Canto, et al.. (2002). De Novo Central Nervous System Processing of Myelin Antigen Is Required for the Initiation of Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 168(8). 4173–4183. 164 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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